{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import csv\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import re\n",
        "import os"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "output": {
          "id": 1872465900215870,
          "loadingStatus": "loaded"
        }
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "['result_tbsize_50000_zch_dlrmv3_kuairand27k', 'result_tbsize_50000_nonzch_dlrmv3_kuairand27k']\n"
          ]
        }
      ],
      "source": [
        "zch_stats_folders = [x for x in os.listdir(\"/home/lizhouyu/home/lizhouyu/zch_results\") if x.startswith(\"result_tbsize\")]\n",
        "zch_stats_folders = [x for x in zch_stats_folders if \"_50000_\" in x and \"kuairand27k\" in x]\n",
        "print(zch_stats_folders)\n",
        "#"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [],
      "source": [
        "figure_folder = \"/home/lizhouyu/home/lizhouyu/zch_results_figures\"\n",
        "os.makedirs(figure_folder, exist_ok=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {},
      "outputs": [],
      "source": [
        "def get_average_zch(zch_stats_file_folder):\n",
        "    zch_stats_file_path = os.path.join(zch_stats_file_folder, 'zch_metrics.csv')\n",
        "    df_zch_stats = pd.read_csv(zch_stats_file_path)\n",
        "    # maintain a dictionary of {feature_name: {batch_idx: accumulated_collision_over_all_ranks_at_batch_idx}}\n",
        "    feature_name_accumulated_collision_count_dict = {}\n",
        "    feature_name_accumulated_total_count_dict = {}\n",
        "    batch_count = 0\n",
        "    for index, row in df_zch_stats.iterrows():\n",
        "        feature_name = row[\"feature_name\"]\n",
        "        if feature_name != \"video_id\":\n",
        "            continue\n",
        "        batch_count += 1\n",
        "        batch_idx = row[\"batch_idx\"]\n",
        "        collision_cnt = row[\"collision_cnt\"]\n",
        "        total_cnt = row[\"total_cnt\"]\n",
        "        if feature_name not in feature_name_accumulated_collision_count_dict:\n",
        "            feature_name_accumulated_collision_count_dict[feature_name] = {}\n",
        "        if batch_count not in feature_name_accumulated_collision_count_dict[feature_name]:\n",
        "            feature_name_accumulated_collision_count_dict[feature_name][batch_count] = 0\n",
        "        feature_name_accumulated_collision_count_dict[feature_name][batch_count] += int(collision_cnt)\n",
        "        if feature_name not in feature_name_accumulated_total_count_dict:\n",
        "            feature_name_accumulated_total_count_dict[feature_name] = {}\n",
        "        if batch_count not in feature_name_accumulated_total_count_dict[feature_name]:\n",
        "            feature_name_accumulated_total_count_dict[feature_name][batch_count] = 0\n",
        "        feature_name_accumulated_total_count_dict[feature_name][batch_count] += int(total_cnt)\n",
        "    # sort each feature_name's dict by batch_idx\n",
        "    for feature_name in feature_name_accumulated_collision_count_dict:\n",
        "        feature_name_accumulated_collision_count_dict[feature_name] = dict(sorted(feature_name_accumulated_collision_count_dict[feature_name].items()))\n",
        "        feature_name_accumulated_total_count_dict[feature_name] = dict(sorted(feature_name_accumulated_total_count_dict[feature_name].items()))\n",
        "    print(feature_name_accumulated_collision_count_dict)\n",
        "    # calculate accumulated collision\n",
        "    for feature_name in feature_name_accumulated_collision_count_dict:\n",
        "        for batch_count in feature_name_accumulated_collision_count_dict[feature_name]:\n",
        "            if batch_count == 1:\n",
        "                continue\n",
        "            feature_name_accumulated_collision_count_dict[feature_name][batch_count] = feature_name_accumulated_collision_count_dict[feature_name][batch_count] + feature_name_accumulated_collision_count_dict[feature_name][batch_count-1]\n",
        "            feature_name_accumulated_total_count_dict[feature_name][batch_count] = feature_name_accumulated_total_count_dict[feature_name][batch_count] + feature_name_accumulated_total_count_dict[feature_name][batch_count-1]\n",
        "    # get average accumulated_collision_count for each batch over all the features\n",
        "    average_accumulated_collision_count_dict = {}\n",
        "    for batch_idx in range(1, len(list(feature_name_accumulated_collision_count_dict.values())[0])):\n",
        "        accumulated_collision_count_sum = 0\n",
        "        accumulated_total_count_sum = 0\n",
        "        for feature_name in feature_name_accumulated_collision_count_dict:\n",
        "            accumulated_collision_count_sum += feature_name_accumulated_collision_count_dict[feature_name][batch_idx]\n",
        "            accumulated_total_count_sum += feature_name_accumulated_total_count_dict[feature_name][batch_idx]\n",
        "        average_accumulated_collision_count_dict[batch_idx] = accumulated_collision_count_sum / accumulated_total_count_sum\n",
        "    return average_accumulated_collision_count_dict, feature_name_accumulated_total_count_dict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {},
      "outputs": [],
      "source": [
        "re_zch_method_name_pattern = re.compile(r\"\\d+_((non)?zch(_.*)?)\")\n",
        "re_table_size_pattern = re.compile(r\"result_tbsize_(\\d+)\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "output": {
          "id": 1295720632224902,
          "loadingStatus": "loaded"
        }
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "zch_dlrmv3_kuairand27k 50000\n",
            "{'video_id': {1: 1301, 2: 882, 3: 683, 4: 573, 5: 484, 6: 842, 7: 2359, 8: 4059, 9: 4555, 10: 4508, 11: 4596, 12: 4659, 13: 4507, 14: 4617, 15: 4550, 16: 4627, 17: 4675, 18: 4521, 19: 4427, 20: 4771, 21: 4603, 22: 4707, 23: 4705, 24: 4578, 25: 4625, 26: 4674, 27: 4661, 28: 4515, 29: 4648, 30: 4581, 31: 4733, 32: 4763, 33: 4470, 34: 4595, 35: 4555, 36: 4564, 37: 4661, 38: 4445, 39: 4556, 40: 4510, 41: 4647, 42: 4578, 43: 4597, 44: 4691, 45: 4568, 46: 4646, 47: 4716, 48: 4585, 49: 4493, 50: 4597, 51: 4561, 52: 4555, 53: 4666, 54: 4613, 55: 4790, 56: 4420, 57: 4726, 58: 4700, 59: 4527, 60: 4761, 61: 4813, 62: 4617, 63: 4642, 64: 4578, 65: 4633, 66: 4570, 67: 4702, 68: 4796, 69: 4649, 70: 4521, 71: 4863, 72: 4775, 73: 4613, 74: 4700, 75: 4722, 76: 4809, 77: 4521, 78: 4807, 79: 4524, 80: 4566, 81: 4650, 82: 4605, 83: 4650, 84: 4547, 85: 4710, 86: 4529, 87: 4684, 88: 4600, 89: 4850, 90: 4755, 91: 4644, 92: 4586, 93: 4592, 94: 4543, 95: 4729, 96: 4599, 97: 4662, 98: 4648, 99: 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            "nonzch_dlrmv3_kuairand27k 50000\n",
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          ]
        }
      ],
      "source": [
        "table_size_zch_method_avetage_collision_dict = {}\n",
        "table_size_zch_method_total_cnt_dict = {}\n",
        "for zch_stats_folder in zch_stats_folders:\n",
        "    zch_method_name = re_zch_method_name_pattern.search(zch_stats_folder).group(1)\n",
        "    table_size = int(re_table_size_pattern.search(zch_stats_folder).group(1))\n",
        "    print(zch_method_name, table_size)\n",
        "    zch_stats_file_folder = os.path.join(\"/home/lizhouyu/home/lizhouyu/zch_results\", zch_stats_folder)\n",
        "    average_collision_dict, total_cnt_dict = get_average_zch(zch_stats_file_folder)\n",
        "    if table_size not in table_size_zch_method_avetage_collision_dict:\n",
        "        table_size_zch_method_avetage_collision_dict[table_size] = {}\n",
        "    table_size_zch_method_avetage_collision_dict[table_size][zch_method_name] = average_collision_dict\n",
        "    if table_size not in table_size_zch_method_total_cnt_dict:\n",
        "        table_size_zch_method_total_cnt_dict[table_size] = {}\n",
        "    table_size_zch_method_total_cnt_dict[table_size][zch_method_name] = total_cnt_dict\n",
        "print(table_size_zch_method_avetage_collision_dict)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plot collision rate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "output": {
          "id": 2116764528810244,
          "loadingStatus": "loaded"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# plot the average ratio of accumulated_collision_count / accumulated_total_count for all the features\n",
        "# the x-axis is the batch_idx, the y-axis is the ratio\n",
        "for table_size in table_size_zch_method_avetage_collision_dict:\n",
        "    fig = plt.figure(figsize=(8, 6))\n",
        "    font_size = 24\n",
        "    for zch_method_name in table_size_zch_method_avetage_collision_dict[table_size]:\n",
        "        x_list = list(table_size_zch_method_avetage_collision_dict[table_size][zch_method_name].keys())\n",
        "        y_list = list(table_size_zch_method_avetage_collision_dict[table_size][zch_method_name].values())\n",
        "        line_style = \"--\" if \"nonzch\" in zch_method_name else \"-\"\n",
        "        plt.plot(x_list, y_list, label=f\"{zch_method_name}\", linewidth=3, linestyle=line_style)\n",
        "    plt.xlabel(\"batch_idx\", fontsize=font_size)\n",
        "    plt.ylabel(\"average collision rate\", fontsize=font_size)\n",
        "    # plt.title(\"average collision rate vs batch_idx\", fontsize=font_size)\n",
        "    plt.xticks(fontsize=font_size)\n",
        "    plt.yticks(fontsize=font_size)\n",
        "    plt.legend(fontsize=font_size*0.7, title=f\"table size: {table_size}\", title_fontsize=font_size*0.7)\n",
        "    # save\n",
        "    fig_path = os.path.join(figure_folder, f\"average_collision_rate_vs_batch_idx_tbsize_{table_size}.png\")\n",
        "    plt.tight_layout()\n",
        "    fig.savefig(fig_path)\n",
        "    plt.show()\n",
        "    plt.close()\n",
        "# plot the ratio of accumulated_collision_count / accumulated_total_count"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "output": {
          "id": 1448651826264256,
          "loadingStatus": "loaded"
        }
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MPZCH EC\n",
            "Original EC\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# plot the average ratio of accumulated_collision_count / accumulated_total_count for all the features\n",
        "# the x-axis is the batch_idx, the y-axis is the ratio\n",
        "for table_size in table_size_zch_method_avetage_collision_dict:\n",
        "    fig = plt.figure(figsize=(8, 6))\n",
        "    font_size = 24\n",
        "    for zch_method_name in table_size_zch_method_avetage_collision_dict[table_size]:\n",
        "        x_list = list(table_size_zch_method_avetage_collision_dict[table_size][zch_method_name].keys())\n",
        "        y_list = list(table_size_zch_method_avetage_collision_dict[table_size][zch_method_name].values())\n",
        "        line_style = \"--\" if \"nonzch\" in zch_method_name else \"-\"\n",
        "        label_name = \"Original EC\" if \"nonzch\" in zch_method_name else \"MPZCH EC\"\n",
        "        plt.plot(x_list, y_list, label=f\"{label_name}\", linewidth=3, linestyle=line_style)\n",
        "        print(label_name)\n",
        "    plt.xlabel(\"batch index\", fontsize=font_size)\n",
        "    plt.ylabel(\"User ID table collision rate\", fontsize=font_size)\n",
        "    # plt.title(\"average collision rate vs batch_idx\", fontsize=font_size)\n",
        "    plt.xticks(fontsize=font_size)\n",
        "    plt.yticks(fontsize=font_size)\n",
        "    plt.legend(fontsize=font_size*0.7, title=f\"table size: {table_size}\", title_fontsize=font_size*0.7)\n",
        "    # save\n",
        "    fig_path = os.path.join(figure_folder, f\"video_id_table_collision_rate_vs_batch_idx_tbsize_{table_size}.png\")\n",
        "    plt.tight_layout()\n",
        "    fig.savefig(fig_path)\n",
        "    plt.show()\n",
        "    plt.close()\n",
        "# plot the ratio of accumulated_collision_count / accumulated_total_count"
      ]
    }
  ],
  "metadata": {
    "fileHeader": "",
    "fileUid": "75fbdc90-117d-4c24-b0b4-2cd83e5801ca",
    "isAdHoc": false,
    "kernelspec": {
      "display_name": "torchrec",
      "language": "python",
      "name": "bento_kernel_torchrec"
    },
    "language_info": {
      "name": "plaintext"
    },
    "orig_nbformat": 4
  }
}
